Title
Quality indicators in post-disaster housing: Case of the 2017 Coastal El Niño, Piura
Date Issued
01 January 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Newswood Limited
Abstract
Post-disaster reconstruction is a highly complex process that requires many resources, capacities, and skills. Unfortunately, the general population and humanitarian organizations in Peru lack these requirements, whether due to a lack of experience or interest. Post-disaster housing reconstruction programs play a very important role in early recovery by victims. Such housing also helps restore the dignity and the means of subsistence of communities affected by a disaster. In March 2017, the Piura region was affected by the Coastal El Niño phenomenon. This weather event included heavy rainfall of a kind not seen in the last 18 years, causing the Piura River to overflow its banks and leaving behind over 105,369,000 damaged houses in the region. In response to this event, the Universidad de Piura (UDEP) developed a reconstruction program for 12 post-disaster housing units, known as “Vivienda Segura” (“Safe Housing”), in the towns La Campiña and Pedregal Grande, in the district of Catacaos, Piura. In view of the work done by the professionals from the UDEP, the objective of this article is to determine quality indicators for the reconstruction of post-disaster housing based on two key standards: habitability and durability. The methodology used is that of the case study, which includes interviews with experts, professional involved in this reconstruction program, and above all, members of the affected families. These quality indicators, which are currently nonexistent in Peru, will serve as the basis for the reconstruction of different types of post-disaster housing in a range of scenarios.
Start page
747
End page
751
Volume
2238
Language
English
OCDE Knowledge area
Ciencias ambientales
Ciencias del medio ambiente
Subjects
Scopus EID
2-s2.0-85062166356
ISBN
9789881404909
Source
Lecture Notes in Engineering and Computer Science
Resource of which it is part
Lecture Notes in Engineering and Computer Science
ISSN of the container
20780958
ISBN of the container
978-988140490-9
Sources of information:
Directorio de Producción Científica
Scopus